In our experiments, we use two datasets, MNIST [1]} and CIFAR10 [2]}. MNIST is a grayscale image dataset with 60,000 training data of the 10 digits and an additional 10,000 for testing, while CIFAR10 comprises 50,000 RGB images for training and 10,000 for testing. To keep consistency, the \(28\times 28\) -pixel images in MNIST are resized to \(32\times 32\)  pixels, the same size as CIFAR10 images.
